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By Damiete Braide
When industrial engineering and manufacturing specialist Kelechi Kaycee Amamba took on manufacturing responsibilities at Upfield’s Ghana operations, one of his priorities was improving how the factory used automation, operational data, and performance information to make production decisions.
The assignment placed Amamba in an operating manufacturing environment where production efficiency, material losses, equipment performance, and reliability had direct implications for business performance.
His response was to combine industrial engineering with digital manufacturing and structured continuous-improvement methods rather than treating automation as an isolated technology function.
A major part of the approach involved making factory operations more measurable. Amamba incorporated business and data analytics, performance dashboards, structured loss analysis, and digital manufacturing tools into the management of production activities.
This allowed operational problems to be identified through manufacturing data and evaluated systematically before corrective actions were implemented.
He also introduced the use of a digital representation of factory-floor operations to examine production activities and potential bottlenecks.
By modeling aspects of the production environment digitally, manufacturing teams could evaluate operational constraints and potential improvements before making changes on the physical factory floor.
The result was a more data-driven approach to manufacturing management in which information about production, equipment performance, material losses, and operational efficiency increasingly informed factory decisions.
The changes were accompanied by improved operational efficiency and reduced business and material waste under Amamba’s manufacturing leadership. These improvements strengthened the factory’s ability to use equipment, production time, materials, and other resources more effectively while reducing manufacturing losses.
Amamba’s contribution therefore went beyond recommending that the company adopt automation or digital technology. His work connected those technologies to practical manufacturing outcomes involving efficiency, waste reduction, reliability, and operational performance.
His approach also changed how operational challenges were addressed. Instead of relying primarily on interventions after problems had already affected production, factory teams increasingly had access to performance data, dashboards, digital analysis, and structured improvement methods that could be used to identify losses, investigate bottlenecks, and guide corrective action.
The manufacturing operation subsequently received external recognition when the company earned a National Quality Gold Category Award associated with the Association of Ghana Industries and the Ghana Standards Authority.
The recognition provided an additional indicator of the operation’s quality performance during a period characterized by efforts to strengthen efficiency, operational control, waste management, and continuous improvement.
For Amamba, the Ghana assignment represented the application of industrial-engineering methods to business and manufacturing challenges. His work brought together automation, operational excellence, data analytics, digital manufacturing, process optimization, and performance management within an operating factory environment.
It also demonstrated how manufacturing digitalization can produce results beyond technology deployment itself.
Digital tools become industrially significant when they help manufacturers identify production losses, improve equipment utilization, reduce waste, strengthen reliability, and make better operational decisions.
Amamba’s work in Ghana followed earlier industrial-engineering and factory-development experience in Nigeria, but the Ghana assignment provided an opportunity to apply those capabilities at a broader manufacturing-leadership level.
The operational improvements – including greater manufacturing efficiency, reduced business and material waste, stronger use of production data, and more structured methods for monitoring and improving factory performance – provide evidence of the practical impact of his work.
Through this work, Kelechi Kaycee Amamba established a record of applying industrial automation and data-driven manufacturing methods to improve industrial operations in Ghana, translating engineering expertise into improvements in efficiency, waste reduction, operational visibility, reliability, and manufacturing performance.
